Lifu Deng

403 citations
13 papers · 240 · h-index 10

Impact in

Papers in

Lifu Deng

12 papers receiving 240 citations

Peers

Lifu Deng
Comparison fields: 5 of 41
  • Cognitive Neuroscience 182
  • Neuropsychology and Physiological Psychology 4
  • Radiology, Nuclear Medicine and Imaging 55
  • Experimental and Cognitive Psychology 30
  • Neurology 17
Replace Svyatoslav Vergun with:
Svyatoslav Vergun United States
Madlaine Müller Germany
Rongrong Zhang China
Yueheng Peng China
Roberto Guidotti Italy
Hannes Almgren Australia
Haiyang Sun China
Kyesam Jung Germany
Josephine Maria Groot Netherlands
Alessio Basti Italy
Lifu Deng relative to Svyatoslav Vergun United States Svyatoslav Vergun's profile →
Citations per field
00.5×1.5×2.1×
Svyatoslav Vergun · 1×
Citations per year

Countries citing papers authored by Lifu Deng

Since Specialization
Citations

This map shows the geographic impact of Lifu Deng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lifu Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lifu Deng more than expected).

Fields of papers citing papers by Lifu Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lifu Deng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lifu Deng. The network helps show where Lifu Deng may publish in the future.

Co-authors

The 25 scholars most cited alongside Lifu Deng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lifu Deng Line = papers co-authored together Lifu Deng links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201653
2 201835
3 201934
4 202021
5 202018
6 202118
7 202018
8 201917
9 201812
10 202210
11 20242
12 20242
13 20250

About Lifu Deng

Lifu Deng is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Neurology, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications, having authored 13 papers that have together received 240 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), Neural dynamics and brain function (4 papers), Neurological disorders and treatments (2 papers), Cognitive Functions and Memory (2 papers), Face Recognition and Perception (2 papers), Neural and Behavioral Psychology Studies (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Cognitive Neuroscience (182 citations), Neuropsychology and Physiological Psychology (4 citations), Radiology, Nuclear Medicine and Imaging (55 citations), Experimental and Cognitive Psychology (30 citations) and Neurology (17 citations). Lifu Deng has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Shanbao Tong, Junfeng Sun, Lin Cheng, Roberto Cabeza, Simon W. Davis, Naying He, Huawei Ling, Erik A. Wing, Benjamin R. Geib and Hong Zhu. Their work appears in journals such as Scientific Reports, Journal of Neuroscience, Cerebral Cortex, Frontiers in Neuroscience and International Journal of Neural Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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